Triple
T12723194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Titicaca region |
E304036
|
entity |
| Predicate | containsPortCity |
P2745
|
FINISHED |
| Object | Puno |
E61910
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Puno | Statement: [Lake Titicaca region, containsPortCity, Puno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puno Context triple: [Lake Titicaca region, containsPortCity, Puno]
-
A.
Puno
chosen
Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
-
B.
Cuyoño
Cuyoño is an Austronesian language spoken primarily in the Cuyo Islands and parts of Palawan in the Philippines.
-
C.
Juliaca
Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
-
D.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
E.
Guarayu
Guarayu is an indigenous language of the Tupi–Guaraní family spoken primarily by the Guarayu people in eastern Bolivia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.